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Feedforward Control

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May 1, 2024 3 minute read

Feedforward Control is a control technique used in engineering systems to predict and compensate for disturbances that may affect the system's performance. Unlike feedback control, which relies on measurements of the system's output to adjust the control inputs, feedforward control uses a model of the system to predict the effects of disturbances and applies corrective actions before they occur. This proactive approach can result in improved system performance, stability, and robustness.

Advantages of Feedforward Control

Feedforward control offers several advantages over feedback control, including:

  • Improved system performance: By predicting and compensating for disturbances, feedforward control can minimize their impact on the system's output, leading to improved performance.
  • Enhanced stability: Feedforward control can help stabilize systems that are prone to oscillations or instability by counteracting disturbances before they destabilize the system.
  • Reduced sensitivity to disturbances: Feedforward control makes the system less sensitive to disturbances by mitigating their effects before they reach the system's output.
  • Faster response time: Feedforward control can respond to disturbances more quickly than feedback control, as it does not rely on measurements of the system's output to make corrections.

Applications of Feedforward Control

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Feedforward Control.
Presents a unified and rigorous treatment of feedforward control, focusing on the design and analysis of feedforward controllers for dynamic systems. It is suitable for graduate students and researchers in control engineering.
Explores the use of optimal control theory for feedforward design. It provides a comprehensive overview of the design and analysis of optimal feedforward controllers.
Focuses on the design and analysis of nonlinear feedforward controllers. It provides a comprehensive overview of the theory and applications of nonlinear feedforward control.
Focuses on the design of robust feedforward controllers for systems with polytopic uncertainty. It provides a systematic approach to designing controllers that are insensitive to plant uncertainties and disturbances.
Explores the use of model predictive control for feedforward design. It provides a practical approach to designing feedforward controllers for complex systems.
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